MediumVulnerability
CVE-2025-5197: Hugging Face Transformers ReDoS in TensorFlow to PyTorch weight name conversion
- Source
- NVD(opens in a new tab)
- Identifier
- CVE-2025-5197
- Published
- Record updated
- Affected
- transformers < 4.53.0
- Fixed in
- 4.53.0
- released June 26, 2025, 41 days before disclosure
- Known exploitation
- Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
- EPSS
- 0.4%
Summary
A Regular Expression Denial of Service (ReDoS) flaw exists in the Hugging Face Transformers library, in the `convert_tf_weight_name_to_pt_weight_name()` function that converts TensorFlow weight names to PyTorch format. Its regex pattern `/[^/]*___([^/]*)/` can be driven into catastrophic backtracking by crafted input strings, consuming excessive CPU. The flaw affects versions up to 4.51.3 and can cause service disruption, resource exhaustion and potential API service vulnerabilities during model conversion.
Mitigation
Fixed in version 4.53.0.
Affected packages in the Exposure Registry
Matched by package name and ecosystem. Each entry shows whether the package delegates to a language model and how many tracked packages depend on it.
- transformersPyPILLM dependency since 2016-08-17 · 141 tracked dependents
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